CN112333753B - Method and device for evaluating number of accessible users - Google Patents

Method and device for evaluating number of accessible users Download PDF

Info

Publication number
CN112333753B
CN112333753B CN202011360747.XA CN202011360747A CN112333753B CN 112333753 B CN112333753 B CN 112333753B CN 202011360747 A CN202011360747 A CN 202011360747A CN 112333753 B CN112333753 B CN 112333753B
Authority
CN
China
Prior art keywords
sinr
throughput
access network
simulation
users
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202011360747.XA
Other languages
Chinese (zh)
Other versions
CN112333753A (en
Inventor
杨艳
苗守野
钟志刚
冯毅
张涛
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China United Network Communications Group Co Ltd
Original Assignee
China United Network Communications Group Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China United Network Communications Group Co Ltd filed Critical China United Network Communications Group Co Ltd
Priority to CN202011360747.XA priority Critical patent/CN112333753B/en
Publication of CN112333753A publication Critical patent/CN112333753A/en
Application granted granted Critical
Publication of CN112333753B publication Critical patent/CN112333753B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/06—Testing, supervising or monitoring using simulated traffic
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

Abstract

The invention provides a method and a device for evaluating the number of accessible users, relates to the technical field of communication, and solves the problem of estimating service bearing capacity (the number of accessible users) of a base station bearing a plurality of different services in multiple scenes. Acquiring a scene map and configuration parameters of a planned access network device, and ensuring rate of preset service to be accessed by the planned access network device; the configuration parameters comprise equipment types and access network equipment parameters; simulating according to the scene map, the equipment type and the access network equipment parameters, and determining a first SINR of at least one simulation point; determining the rated user number of the access network equipment to be built for accessing the preset service according to the first SINR of at least one simulation point, the typical scene simulation data corresponding to the equipment type and the guarantee rate; wherein the exemplary scene simulation data includes a second SINR and throughput acquired at least one exemplary location.

Description

Method and device for evaluating number of accessible users
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method and an apparatus for evaluating the number of accessible users.
Background
Currently, as a fifth Generation mobile communication technology (5 th-Generation, 5G) communication system that is in full coverage, three functions or services, that is, an Ultra-large bandwidth (eMBB (Enhanced Mobile Broadband)), a low latency high reliability service (Ultra-reliable and Low Latency Communications), and multiple access (mMTC (massive Machine Type of Communication)), respectively, are provided. The eMBB performs guarantee and performance enhancement of communication service through a large bandwidth and MU-User Multiple-Input Multiple-Output (MU-MIMO) technology, and is generally used for carrying services such as AR (Augmented Reality ), VR (Virtual Reality), high-definition video, high-definition live broadcast and the like; the uRLLC is used for guaranteeing the communication quality of the service with higher time delay requirement, such as remote operation and fine control; mctc is generated due to the requirement of massive user access capability, and is mainly used for solving the problem that the traditional mobile communication cannot well support the application of the internet of things and the vertical industry, and is mainly used for application scenes targeting sensing and data acquisition, such as smart cities, environment monitoring, smart home and forest fire prevention, and the like, and the scenes have the characteristics of small data packets, low power consumption, massive connection and the like.
In summary, the characteristics of these 3 kinds of services are different, and the three are not completely split, and some services may comprehensively require multiple characteristics. Therefore, for the development of 5G devices and services, the number of users allowed to access by each base station for different services cannot be estimated by simply neglecting the service types to complete network resource planning and configuration, so a method for estimating the service bearing capacity (number of users capable of accessing) of base stations bearing multiple different services in multiple scenarios is needed.
Disclosure of Invention
The invention provides a method and a device for evaluating the number of accessible users, which solve the problem of estimating the service bearing capacity (the number of accessible users) of a base station bearing a plurality of different services in multiple scenes.
In order to achieve the above purpose, the invention adopts the following technical scheme:
in a first aspect, an embodiment of the present invention provides a method for evaluating the number of accessible users, including: acquiring a scene map and configuration parameters of the access network equipment to be built, and ensuring the rate of preset business to be accessed by the access network equipment to be built; the configuration parameters comprise equipment types and access network equipment parameters; simulating according to the scene map, the equipment type and the access network equipment parameters, and determining a first SINR of at least one simulation point; determining the rated user number of the access network equipment to be built for accessing the preset service according to the first SINR of at least one simulation point, the typical scene simulation data corresponding to the equipment type and the guarantee rate; wherein the exemplary scene simulation data includes a second SINR and throughput acquired at least one exemplary location.
Based on the above technical solution, in the case that a base station to be deployed is to deploy a plurality of different types of services to be deployed, the embodiment of the present application first obtains a scene map and configuration parameters of an access network device to be built, and a guarantee rate of a preset service to be accessed by the access network device to be built, which specifically includes: and simulating according to the scene map, the equipment type and the access network equipment parameters, and determining the first SINR of at least one simulation point. And then, determining the rated user number of the access network equipment to be built for accessing the preset service according to the first SINR of at least one simulation point, the typical scene simulation data corresponding to the equipment type and the guarantee rate.
In addition, when the access network equipment is a base station, the base station can determine the rated user number of the access preset service according to the method for evaluating the number of the access users. Therefore, an operator can estimate the bearing capacity of the planned base station according to the rated number of each preset service accessible by the planned base station, and the estimation of the service bearing capacity (the number of accessible users) of the base station bearing a plurality of different services in multiple scenes is reasonably realized.
In a second aspect, the present invention provides an evaluation device for the number of accessible users, including: an acquisition unit and a processing unit.
Specifically, the acquiring unit is configured to acquire a scene map and configuration parameters of the access network device to be built, and a guarantee rate of a preset service to be accessed by the access network device to be built. Wherein the configuration parameters include device type and access network device parameters.
The processing unit is configured to perform simulation according to the scene map acquired by the acquiring unit, the device type acquired by the acquiring unit, and the access network device parameter acquired by the acquiring unit, and determine a first SINR of at least one simulation point. The processing unit is further configured to determine a rated user number of the access network device to be built capable of accessing the preset service according to the first SINR of the at least one emulation point, the typical scene emulation data corresponding to the device type acquired by the acquiring unit, and the guarantee rate acquired by the acquiring unit. Wherein the exemplary scene simulation data includes a second SINR and throughput acquired at least one exemplary location.
In a third aspect, the present invention provides a server comprising: communication interface, processor, memory, bus; the memory is used for storing computer execution instructions, and the processor is connected with the memory through a bus. When the server is running, the processor executes computer-executable instructions stored in the memory to cause the server to perform the method of evaluating the number of accessible users as provided in the first aspect above.
In a fourth aspect, the present invention provides a computer-readable storage medium comprising instructions. The instructions, when executed on a computer, cause the computer to perform the method of evaluating the number of accessible users as provided in the first aspect above.
In a fifth aspect, the present invention provides a computer program product for, when run on a computer, causing the computer to perform the method of evaluating the number of accessible users as set forth in the first aspect.
It should be noted that the above-mentioned computer instructions may be stored in whole or in part on the first computer readable storage medium. The first computer readable storage medium may be packaged together with the processor of the user accessible evaluation device, or may be packaged separately from the processor of the user accessible evaluation device, which is not limited in the present invention.
The description of the second, third, fourth and fifth aspects of the present invention may refer to the detailed description of the first aspect; further, the advantageous effects described in the second aspect, the third aspect, the fourth aspect, and the fifth aspect may refer to the advantageous effect analysis of the first aspect, and are not described herein.
In the present invention, the names of the above-mentioned evaluation means of the number of accessible users do not constitute a limitation on the devices or function modules themselves, which may appear under other names in an actual implementation. Insofar as the function of each device or function module is similar to that of the present invention, it falls within the scope of the claims of the present invention and the equivalents thereof.
These and other aspects of the invention will be more readily apparent from the following description.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a simplified schematic diagram of a system architecture to which an evaluation method of the number of accessible users is applied according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of an evaluation method of the number of accessible users according to an embodiment of the present invention;
Fig. 3 is a second flow chart of a method for evaluating the number of accessible users according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a correlation degree of an evaluation method of the number of accessible users according to an embodiment of the present invention;
FIG. 5 is a second schematic diagram of a correlation degree evaluation method of the number of accessible users according to an embodiment of the present invention;
fig. 6 is a schematic diagram of SINR-downlink throughput when the correlation of the method for evaluating the number of accessible users is 0.3 according to an embodiment of the present invention;
fig. 7 is a third flow chart of a method for evaluating the number of accessible users according to an embodiment of the present invention;
FIG. 8 is a flow chart of a method for evaluating the number of accessible users according to an embodiment of the present invention;
fig. 9 is a schematic structural diagram of an evaluation device capable of accessing a user number according to an embodiment of the present invention;
FIG. 10 is a second schematic diagram of an evaluation device for accessing a user number according to an embodiment of the present invention;
fig. 11 is a schematic structural diagram of a computer program product of an evaluation method of the number of accessible users according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention are described below with reference to the accompanying drawings.
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In order to clearly describe the technical solution of the embodiments of the present invention, in the embodiments of the present invention, the terms "first", "second", etc. are used to distinguish the same item or similar items having substantially the same function and effect, and those skilled in the art will understand that the terms "first", "second", etc. do not limit the number and execution order.
At present, due to different characteristics of various services of 5G, when the service bearing capacity of a base station to be deployed of 5G is estimated before the base station is deployed, the number of users which can be accessed by each base station for different services cannot be estimated by adopting a simple mode of neglecting service types. Therefore, a method for estimating the service carrying capacity (the number of accessible users) of a cell carrying multiple different services in multiple scenarios is needed.
In view of the above problems, an embodiment of the present application provides an evaluation method of the number of accessible users, where the method is applied to an evaluation device of the number of accessible users. The device can be a server of an operator to which the base station to be deployed belongs, or any other feasible device with processing computing capability.
Fig. 1 is a simplified schematic diagram of a system architecture to which the embodiment of the present invention may be applied, as shown in fig. 1, where the system architecture may include: an access network device 1, a terminal 2 and a server 3 are proposed. The terminal 2 accesses the service through the planned access network device 1, and the server 3 is used for acquiring a scene map and configuration parameters of the planned access network device 1 and a guarantee rate of preset service which can be initiated by the terminal 2.
The evaluation device of the number of accessible users in the embodiment of the present invention may be the server 3 shown in fig. 1, or may be a part of devices in the server 3. Such as a chip system in the server 3. The chip system is adapted to support the server 3 for the functions involved in implementing the first aspect and any one of its possible implementations. Such as: and acquiring a scene map and configuration parameters of the access network equipment 1 to be built and the guarantee rate of preset service which can be initiated by the terminal 2. The chip system includes a chip, and may also include other discrete devices or circuit structures.
In the embodiment of the invention, the access network equipment to be built can be a base station or a base station controller for wireless communication, etc. In an embodiment of the present invention, the base station may be a global system for mobile communications (globalsystem for mobil ecommunication, GSM), a base station (basetransceiver station, BTS) in code division multiple access (code division multiple access, CDMA), a base station (node B, NB) in wideband code division multiple access (wideband code division multiple access, WCDMA), a base station (evolvedNode B, eNB) in long term evolution (Long Term Evolution, LTE), an eNB in the internet of things (internet of things, ioT) or narrowband internet of things (narrow band-internetof things, NB-IoT), a base station in a future 5G mobile communication network or a future evolved public land mobile network (public land mobile network, PLMN), which is not limited in this embodiment of the present invention.
The terminal is used for providing voice and/or data connectivity services to the user. The terminals may be variously named, for example, user Equipment (UE), access terminals, terminal units, terminal stations, mobile stations, remote terminals, mobile devices, wireless communication devices, vehicle user equipment, terminal agents or end devices, etc. Optionally, the terminal may be a handheld device, an in-vehicle device, a wearable device, or a computer with a communication function, which is not limited in any way in the embodiment of the present invention. For example, the handheld device may be a smart phone. The in-vehicle device may be an in-vehicle navigation system. The wearable device may be a smart bracelet. The computer may be a personal digital assistant (personal digital assistant, PDA) computer, a tablet computer, or a laptop computer (laptop computer).
The following describes the method for evaluating the number of accessible users provided in the embodiment of the present invention, taking the device for evaluating the number of accessible users as a server 3 and the device for planning access network as a planning base station in connection with the communication system shown in fig. 1.
As shown in fig. 2, the method for evaluating the number of accessible users includes the following steps S11-S13:
s11, the server 3 acquires a scene map and configuration parameters of the planned base station and a guarantee rate of preset service to be accessed by the planned base station. Wherein the configuration parameters include device type and access network device parameters.
In particular, the scheduling frequency is high every hundred milliseconds due to the preset traffic (also called large bandwidth traffic) which is required by the latency and media access control layer (Media Access Control, MAC) layer. Therefore, it is necessary to preferentially secure the user experience of the large bandwidth service.
Specifically, when screening preset services, determining that the time delay of any service is smaller than a time delay threshold, and determining that the service is the preset service when the scheduling frequency of each hundred milliseconds of the MAC layer is larger than the preset times. Thus, each preset service to be accessed by the planned base station can be determined.
The preset service includes, for example, a service as shown in table 1.
TABLE 1
Figure BDA0002803904930000061
/>
Figure BDA0002803904930000071
Specifically, the device type (e.g., 6TR,8TR,16TR, 32TR or 128 TR) of the base station is determined according to the number of transceiver modules (transmitter and receiver, TR for short) included in the base station.
By way of example, assuming that the device types include a 4TR base station, a 32TR base station, and a 64TR base station, the server 3 determines the device type of the planned base station includes:
the server 3 determines that the deployment scenario of the equipment of the planned access network is indoor, and determines the base station with the equipment type of 4TR of the planned base station.
When the server 3 determines that the deployment scenario of the to-be-built access network device is outdoor and the deployment area is an urban area, it determines a base station of which the device type of the to-be-built base station is 64 TR.
The server 3 determines that the deployment scenario of the access network equipment is outdoor, and determines that the equipment type of the base station is a base station of 32TR when the deployment area is suburban.
Specifically, the access network device parameters include one or more of the following: simulation scene, inter-station Distance (english full name: inter-Site Distance, abbreviated as: ISD), number of sites (total number of surrounding base stations), base station antenna height, channel model, subcarrier spacing, traffic model, number of users per sector, user distribution, indoor and outdoor user distribution (different penetration loss duty ratio), user mobility, frequency band, system bandwidth, physical resource block (english full: physical Resource Block, abbreviated as PRB), frame structure, evolved Node B (abbreviated as eNB) transmit power, number of antenna array radiation model, number of transmit/receive units, base station noise figure, antenna downtilt, UE antenna height, minimum Distance between base station and user, number of UE receive antennas, UE noise figure, number of UE transmit antennas, UE transmit power, downlink Single user Multiple-Input Multiple-Output antenna system (abbreviated as DL SU-MIMO) maximum number of streams, downlink Multi-user Multiple-Input Multiple-Output antenna system (abbreviated as DL SU-MIMO) maximum number of streams, uplink Single user Multiple-Input Multiple-Output antenna system (abbreviated as DL-MU-MIMO) maximum number of streams, uplink Single user Multiple-Input Multiple-Output Multiple-Input Multiple-Output Multiple-unit Multiple-Input Multiple-unit Multiple-unit Multiple unit Multiple unit and Multiple and Multiple, one or more of a propagation model and a handover margin.
S12, the server 3 simulates according to the scene map, the equipment type and the access network equipment parameters, and determines a first signal-to-interference-plus-noise ratio (Signal to Interference plus Noise Ratio, SINR) of at least one simulation point.
In one implementation, the scene map includes a three-dimensional (3D) map and a layout diagram.
It should be noted that, in practical application, the server 3 performs simulation according to the scene map, the device type and the access network device parameter, and determining the first SINR of at least one simulation point includes:
1. scene reproduction method
The server 3 obtains a 3D map with specified precision (for example, a 3D map with the precision of 2 m×2 m), configures device type and access network device parameters after importing the 3D map into simulation software (for example, atoll), performs user point scattering simulation, and then determines a first SINR of at least one simulation point.
2. Scene false seeking method
The method is suitable for a scene without base station construction, and under the condition that only buildings and other building information (such as a planning chart) are known, the duty ratio conditions of different types of penetration loss need to be calculated, and the specific conditions are shown in a table 2:
TABLE 2
Type of penetration loss Penetration loss duty cycle
Outdoor (outoor)
Indoor low penetration loss
Indoor high penetration loss
Then, the server 3 performs simulation using system simulation software (e.g., matlab, etc.) based on the penetration loss ratio, the device type, and the access network device parameters, performs user spreading point simulation, and then determines a first SINR of at least one simulation point.
The penetration loss ratio is determined by scene construction by different penetration loss models defined in 38.901 standard.
S13, the server 3 determines the rated user number of the planned base station which can access the preset service according to the first SINR of at least one simulation point, the typical scene simulation data corresponding to the equipment type and the guaranteed rate. Wherein the exemplary scene simulation data includes a second SINR and throughput acquired at least one exemplary location.
From the above, the proposed base station according to the method for evaluating the number of accessible users provided by the embodiment of the present invention can determine the rated number of users that the proposed base station can access to the preset service. Therefore, an operator can estimate the bearing capacity of the planned base station according to the rated number of each preset service accessible by the planned base station, and the estimation of the service bearing capacity (the number of accessible users) of the base station bearing a plurality of different services in multiple scenes is reasonably realized.
In an implementation manner, referring to fig. 2, as shown in fig. 3, the evaluation of the number of accessible users provided in the embodiment of the present invention further includes: s14 and S15.
S14, the server 3 carries out typical scene simulation according to the typical scene simulation parameters, and determines second SINR and throughput acquired at least one typical position. Wherein the exemplary scenario simulation data is obtained by simulating an exemplary scenario under the first mobile communication technology, the exemplary scenario including at least one of a dense urban area, a suburb, and an open area (also referred to as suburb).
Specifically, typical scene simulation parameters are second SINR and throughput acquired at different sampling points in a laboratory environment. The throughput may be, for example, an average throughput.
In practical applications, when a single terminal and a plurality of terminals are placed at a single sampling point, the corresponding SINR and throughput data will change. Therefore, in order to more accurately calculate the SINR and average throughput of a single sampling point, a 4-terminal placement for each sampling point is described herein as an example.
First, different sampling points are selected. Then, more than 4 (including 4) terminals are placed at each sampling point, and SINR collected by each terminal is collected, and uplink throughput and downlink throughput of user datagram protocol (User Datagram Protocol, UDP) service are performed. The reason for choosing to place 4 UEs here is that the throughput of a base station when fully loaded can be simulated when placing 4 UEs, since one UE supports at most 4 downlink and each base station supports 16 downlink simultaneously. Of course, in practical application, when the maximum number of uplink times supported by the base station is N and the maximum number of uplink times supported by the UE is N, the number of UEs supported by the base station when the base station is fully loaded is
Figure BDA0002803904930000091
When the maximum number of downlink times supported by the base station is N and the maximum number of downlink times supported by the UE is N, the number of UE supported by the base station when fully loaded is/>
Figure BDA0002803904930000092
For example, assuming 6 points of SINR 22, SINR 18, SINR 9, SINR 6, SINR 0 and SINR-2 are sampling points, the recorded data is shown in Table 3.
TABLE 3 Table 3
Figure BDA0002803904930000101
In FIG. 4, point o is an antenna of a base station corresponding to a cell, point a is UE-a, point b is UE-b, point c is UE-c, and point d is UE-d. The point a, the point b, the point c and the point d are respectively located on the boundary of the same concentric circle o, and the SINR of each UE located on the same concentric circle is the same. Specifically, the correlation degree between the UEs can be placed according to the correlation degree actually required; for example, the correlation between UE-a and UE-b is illustrated as an example, and the calculation manner of the correlation between other UEs is the same as that of the correlation between UE-a and UE-b, which is not described here again.
Specifically, the correlation is equal to an included angle formed by connecting any two UE with the base station antenna respectively; such as: an included angle theta is formed by a connecting line of the point a in the horizontal direction and the circle center o (representing the position of the base station antenna) and a connecting line of the point b in the horizontal direction and the circle center o; or an included angle theta is formed by a connecting line of the point d in the horizontal direction and the circle center o (representing the position of the base station antenna) and a connecting line of the point b in the horizontal direction and the circle center o; or, as shown in fig. 5, the included angle θ is formed by the connection line between the point a and the circle center o in the vertical direction and the connection line between the point b and the circle center o in the horizontal direction.
Specifically, mode 1, mode 2, mode 3, mode 4, mode 5, and mode 6 each represent that 4 UEs are simultaneously placed at positions corresponding to the same SINR.
By measuring the corresponding throughput for SINR 22, SINR 18, SINR 9, SINR 6, SINR 0 and SINR-2 for each correlation, the SINR-average throughput curve for the same correlation is fitted. As shown in fig. 6 (SINR on the abscissa and average throughput on the ordinate), an average throughput curve of SINR at correlation of 0.3 is given; wherein the average throughput of each point is equal to the average of the throughput of each UE at the same SINR.
The SINR-average throughput curves with correlation of 0.3, 0.5 and 0.8 are finally obtained, as shown in the following formula:
T 0.3SINR (SINR)＝f 1 (SINR)；
T 0.5SINR (SINR)＝f 2 (SINR)；
T 0.8SINR (SINR)＝f 3 (SINR)。
based on the formula of single correlation, calculating average throughput under single SINR:
Figure BDA0002803904930000111
wherein ,n1 The number of the selected correlation degrees; since the invention selects only three correlations of 0.3, 0.5 and 0.8, n is 1 Equal to 3.
Illustratively, the descriptions are given by taking SINR of 22, SINR of 18, SINR of 9, SINR of 6, SINR of 0, and SINR of-2, and correlation degrees of 0.3, 0.5, and 0.8 as examples:
average throughput of SINR 22
Figure BDA0002803904930000112
The average throughput for SINR 18, SINR 9, SINR 6, SINR 0 and SINR-2 is calculated in the same manner as the average throughput for SINR 22, and will not be described here.
For different SINR-average throughput values, calculating average throughput T in a certain SINR interval _SINR_gap ：
Figure BDA0002803904930000121
Where n_gap is the total number of typical points contained in the SINR interval.
Illustratively, the SINR intervals (- ++4.5 ], (4.5, 12.5), and (12.5, ++infinity) are illustrated as shown in table 4, wherein the points with SINR of-2, -1, 0, 1, 2, 3, and 4 are selected as typical points, respectively, when n_gap is equal to 10, and the points with SINR of 5, 6, 7, 8, 9, 10, 11, and 12 are selected as typical points, when n_gap is equal to 8, and SINR of [12.5, 22.5] are selected as typical points, when n_gap is equal to 10, when n_gap is equal to 8, respectively.
TABLE 4 Table 4
Figure BDA0002803904930000122
From the data recorded in table 4, the average throughput for different intervals at the same SINR position can be calculated, respectively.
And S15, the server 3 generates typical scene test data according to the second SINR and throughput acquired at least one typical position.
Exemplary, typical scenario test data are shown in table 5.
TABLE 5
Figure BDA0002803904930000131
As can be seen from the foregoing, in the method for evaluating the number of accessible users according to the embodiment of the present invention, the typical scene simulation is performed by using the typical scene simulation parameters, the second SINR and throughput acquired at the at least one typical location are determined, and the typical scene test data is generated according to the second SINR and throughput acquired at the at least one typical location. Therefore, in the area where the base station is not deployed, the second SINR value and throughput at each typical position can be determined according to the typical scene test data, and the calculation of the number of access users is facilitated.
In one embodiment, as shown in fig. 7 in conjunction with fig. 2, S13 may be implemented specifically by S130 to S132 described below.
S130, the server 3 determines the duty ratio of the simulation points in different SINR intervals according to the first SINR of at least one simulation point.
Exemplary embodiments. The different SINR intervals may be (- + -infinity, 4.5] (4.5, 12.5), and (12.5, + -infinity), then the duty cycle of the simulation points within the different SINR intervals are respectively:
Figure BDA0002803904930000132
Figure BDA0002803904930000133
Figure BDA0002803904930000134
wherein ,Pg The total number of simulation points representing SINR greater than 12.5dB is N all The ratio of P M Representing that SINR is less than or equal to 12.5dB and that the total number of emulation points with SINR greater than 4.5dB is N all The ratio of P B The total number of simulation points representing SINR less than 4.5dB is N all The ratio of N all The total number of simulation points when the server 3 performs the simulation according to the scene map, the device type and the access network device parameters is represented.
And S131, the server 3 determines corresponding throughput in different SINR intervals according to the second SINR and the throughput acquired at least one typical position.
S132, the server 3 determines the rated user number of the planned base station which can access the preset service according to the duty ratio of the simulation points in different SINR intervals, the corresponding throughput and the guarantee rate in different SINR intervals.
In one embodiment, the guaranteed rate includes an uplink guaranteed rate and a downlink guaranteed rate, and the throughput includes an uplink throughput and a downlink throughput, in which case, as shown in fig. 8 in conjunction with fig. 7, S132 may be specifically implemented through S1320-S1322 described below.
S1320, the server 3 determines the first user number of the planned base station which can access the preset service according to the duty ratio of the simulation points in different SINR intervals, the corresponding uplink throughput and the uplink guarantee rate in different SINR intervals. Wherein the first user number satisfies:
Figure BDA0002803904930000141
Figure BDA0002803904930000142
Figure BDA0002803904930000143
Figure BDA0002803904930000144
wherein ,Pg Representing the duty ratio of the simulation point in the first SINR interval, P M Representing the duty ratio of the simulation point in the second SINR interval, P B Representing the duty ratio of the dummy point in the third SINR interval, the first SINR interval, the second SINR interval and the third SINR interval being different SINR intervals,
Figure BDA0002803904930000145
representing the corresponding upstream throughput in the first SINR interval,/>
Figure BDA0002803904930000146
Representing the corresponding upstream throughput in the second SINR interval,/>
Figure BDA0002803904930000147
Representing corresponding uplink throughput in the third SINR interval, T U Indicating the uplink guaranteed rate.
It should be noted that the floor function means "round down".
Exemplary, assume that the device type of the proposed base station is 64TR, consisting ofThe SINR interval corresponding to Pg is (12.5, in +++). It can be seen from table 5 that, the SINR interval (12.5, + -infinity) corresponding uplink throughput is
Figure BDA0002803904930000151
Then
Figure BDA0002803904930000152
Figure BDA0002803904930000153
And->
Figure BDA0002803904930000154
Is calculated by the method and->
Figure BDA0002803904930000155
The same calculation manner is not repeated here.
S1321, the server 3 determines a second user number of the planned base station which can access the preset service according to the duty ratio of the simulation points in different SINR intervals, the corresponding downlink throughput and the downlink guarantee rate in different SINR intervals. Wherein, the second user number satisfies:
Figure BDA0002803904930000156
Figure BDA0002803904930000157
Figure BDA0002803904930000158
Figure BDA0002803904930000159
wherein ,
Figure BDA00028039049300001510
representation ofCorresponding downstream throughput in the first SINR interval,/and/or>
Figure BDA00028039049300001511
Representing the corresponding downstream throughput in the second SINR interval,/>
Figure BDA00028039049300001512
Representing the corresponding downstream throughput in the third SINR interval, T D Indicating the downstream guard rate.
By way of example, assuming a device type of the proposed base station of 64TR, since the SINR interval corresponding to Pg is (12.5, ++ infinity), as can be seen from table 5, the SINR interval (12.5, ++ infinity) is the corresponding downlink throughput
Figure BDA00028039049300001513
Then
Figure BDA00028039049300001514
Figure BDA00028039049300001515
And->
Figure BDA00028039049300001516
Is calculated by the method and->
Figure BDA00028039049300001517
The same calculation manner is not repeated here.
S1322, the server 3 determines the rated number of users of the planned base station which can access the preset service according to the first user number and the second user number.
Specifically, the rated user number is the minimum value of the first user number and the second user number.
The foregoing description of the solution provided by the embodiments of the present invention has been mainly presented in terms of a method. To achieve the above functions, it includes corresponding hardware structures and/or software modules that perform the respective functions. Those of skill in the art will readily appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
According to the embodiment of the invention, the function modules of the evaluation device which can be accessed to the user number can be divided according to the method example, for example, each function module can be divided corresponding to each function, and two or more functions can be integrated in one processing module. The integrated modules may be implemented in hardware or in software functional modules. It should be noted that, in the embodiment of the present invention, the division of the modules is schematic, which is merely a logic function division, and other division manners may be implemented in actual implementation.
Fig. 9 is a schematic structural diagram of an evaluation device 10 capable of accessing a user number according to an embodiment of the present invention. The evaluation device 10 of the number of accessible users is used for obtaining scene map and configuration parameters of the access network equipment to be built and guaranteeing rate of preset service to be accessed by the access network equipment to be built; simulating according to the scene map, the equipment type and the access network equipment parameters, and determining a first SINR of at least one simulation point; and determining the rated user number of the access network equipment to be built for accessing the preset service according to the first SINR of at least one simulation point, the typical scene simulation data corresponding to the equipment type and the guarantee rate. The evaluation device 10 of the number of accessible users may comprise an acquisition unit 101 and a processing unit 102.
The acquiring unit 101 is configured to acquire a scene map and configuration parameters of the access network device to be built, and a guarantee rate of a preset service to be accessed by the access network device to be built. For example, in connection with fig. 2, the acquisition unit 101 may be used to perform S11.
And the processing unit 102 is configured to perform simulation according to the scene map acquired by the acquiring unit 101, the device type acquired by the acquiring unit 101, and the access network device parameter acquired by the acquiring unit 101, and determine a first SINR of at least one simulation point. The processing unit 102 is further configured to determine, according to the first SINR of the at least one emulation point, the typical scenario emulation data corresponding to the equipment type acquired by the acquiring unit 101, and the guarantee rate acquired by the acquiring unit 101, a rated number of users to which the access network equipment can access the preset service. For example, in connection with fig. 2, the processing unit 102 may be used to perform S12 and S13. In connection with fig. 3, the processing unit 102 may be used to perform S14 and S15. In connection with fig. 7, the processing unit 102 may be configured to perform S130, S131 and S132. In connection with fig. 8, the processing unit 102 may be configured to perform S1320, S1321, and S1322.
All relevant contents of each step related to the above method embodiment may be cited to the functional descriptions of the corresponding functional modules, and their effects are not described herein.
Of course, the evaluation device 10 for the number of accessible users provided in the embodiment of the present invention includes, but is not limited to, the above modules, for example, the evaluation device 10 for the number of accessible users may further include a storage unit 103. The storage unit 103 may be used for storing program code of the evaluation device 10 of the number of write-accessible users, and may also be used for storing data generated during operation of the evaluation device 10 of the number of write-accessible users, such as data in a write request or the like.
Fig. 10 is a schematic structural diagram of an evaluation device 10 for the number of accessible users according to an embodiment of the present invention, and as shown in fig. 10, the evaluation device 10 for the number of accessible users may include: at least one processor 51, a memory 52, a communication interface 53 and a communication bus 54.
The following describes each component of the user accessible evaluation device 10 in detail with reference to fig. 10:
the processor 51 is a control center of the user-accessible evaluation device 10, and may be one processor or a plurality of processing elements. For example, processor 51 is a central processing unit (Central Processing Unit, CPU), but may also be an integrated circuit (Application Specific Integrated Circuit, ASIC), or one or more integrated circuits configured to implement embodiments of the present invention, such as: one or more DSPs, or one or more field programmable gate arrays (Field Programmable Gate Array, FPGAs).
In a particular implementation, processor 51 may include one or more CPUs, such as CPU0 and CPU1 shown in FIG. 10, as an example. Also, as an embodiment, the evaluation device 10 of the number of accessible users may include a plurality of processors, such as the processor 51 and the processor 55 shown in fig. 10. Each of these processors may be a Single-core processor (Single-CPU) or a Multi-core processor (Multi-CPU). A processor herein may refer to one or more devices, circuits, and/or processing cores for processing data (e.g., computer program instructions).
The Memory 52 may be, but is not limited to, a Read-Only Memory (ROM) or other type of static storage device that can store static information and instructions, a random access Memory (Random Access Memory, RAM) or other type of dynamic storage device that can store information and instructions, an electrically erasable programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), a compact disc (Compact Disc Read-Only Memory, CD-ROM) or other optical disk storage, optical disk storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory 52 may be stand alone and be coupled to the processor 51 via a communication bus 54. Memory 52 may also be integrated with processor 51.
In a specific implementation, the memory 52 is used to store data in the present invention and to execute software programs of the present invention. The processor 51 may perform various functions of the air conditioner by running or executing a software program stored in the memory 52 and calling data stored in the memory 52.
The communication interface 53 uses any transceiver-like means for communicating with other devices or communication networks, such as a radio access network (Radio Access Network, RAN), a wireless local area network (Wireless Local Area Networks, WLAN), a terminal, a cloud, etc. The communication interface 53 may include an acquisition unit to implement a reception function.
The communication bus 54 may be an industry standard architecture (Industry Standard Architecture, ISA) bus, an external device interconnect (Peripheral Component Interconnect, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in fig. 10, but not only one bus or one type of bus.
As an example, in connection with fig. 9, the acquisition unit 101 in the user accessible evaluation device 10 implements the same function as the communication interface 53 in fig. 10, the processing unit 102 implements the same function as the processor 51 in fig. 10, and the storage unit 103 implements the same function as the memory 52 in fig. 10.
Another embodiment of the present invention also provides a computer-readable storage medium having stored therein instructions which, when executed on a computer, cause the computer to perform the method shown in the above-described method embodiment.
In some embodiments, the disclosed methods may be implemented as computer program instructions encoded on a computer-readable storage medium in a machine-readable format or encoded on other non-transitory media or articles of manufacture.
FIG. 11 schematically illustrates a conceptual partial view of a computer program product provided by an embodiment of the invention, the computer program product comprising a computer program for executing a computer process on a computing device.
In one embodiment, a computer program product is provided using signal bearing medium 410. The signal bearing medium 410 may include one or more program instructions that when executed by one or more processors may provide the functionality or portions of the functionality described above with respect to fig. 2. Thus, for example, referring to the embodiment shown in FIG. 2, one or more features of S11-S13 may be carried by one or more instructions associated with signal bearing medium 410. Further, the program instructions in fig. 11 also describe example instructions.
In some examples, signal bearing medium 410 may comprise a computer readable medium 411 such as, but not limited to, a hard disk drive, compact Disk (CD), digital Video Disk (DVD), digital tape, memory, read-only memory (ROM), or random access memory (random access memory, RAM), among others.
In some implementations, the signal bearing medium 410 may include a computer recordable medium 412 such as, but not limited to, memory, read/write (R/W) CD, R/W DVD, and the like.
In some implementations, the signal bearing medium 410 may include a communication medium 413 such as, but not limited to, a digital and/or analog communication medium (e.g., fiber optic cable, waveguide, wired communications link, wireless communications link, etc.).
The signal bearing medium 410 may be conveyed by a communication medium 413 in wireless form (e.g., a wireless communication medium conforming to the IEEE802.41 standard or other transmission protocol). The one or more program instructions may be, for example, computer-executable instructions or logic-implemented instructions.
In some examples, a data-writing apparatus such as described with respect to fig. 2 may be configured to provide various operations, functions, or actions in response to program instructions through one or more of computer-readable medium 411, computer-recordable medium 412, and/or communication medium 413.
From the foregoing description of the embodiments, it will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of functional modules is illustrated, and in practical application, the above-described functional allocation may be implemented by different functional modules according to needs, i.e. the internal structure of the apparatus is divided into different functional modules to implement all or part of the functions described above.
In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the modules or units is merely a logical functional division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another apparatus, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and the parts displayed as units may be one physical unit or a plurality of physical units, may be located in one place, or may be distributed in a plurality of different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a readable storage medium. Based on such understanding, the technical solution of the embodiments of the present invention may be essentially or a part contributing to the prior art or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, including several instructions for causing a device (may be a single-chip microcomputer, a chip or the like) or a processor (processor) to perform all or part of the steps of the method described in the embodiments of the present invention. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk, etc.
The foregoing is merely illustrative of specific embodiments of the present invention, and the scope of the present invention is not limited thereto, but any changes or substitutions within the technical scope of the present invention should be covered by the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (8)

1. An evaluation method for the number of accessible users, comprising:
acquiring a scene map and configuration parameters of a planned access network device, and ensuring the rate of a preset service to be accessed by the planned access network device; the configuration parameters comprise the equipment type of the access network equipment and the access network equipment parameters;
simulating according to the scene map, the equipment type and the access network equipment parameters, and determining a first SINR of at least one simulation point;
determining the duty ratio of the simulation points in different SINR intervals according to the first SINR of the at least one simulation point;
determining corresponding throughput in different SINR intervals according to the second SINR and throughput acquired at least one typical position corresponding to the equipment type;
and determining the rated number of users of the access network equipment to be built, which can access the preset service, according to the duty ratio of the simulation points in the different SINR intervals, the corresponding throughput in the different SINR intervals and the guarantee rate.
2. The method for evaluating the number of accessible users according to claim 1, wherein before determining the rated number of users for which the access network device can access the preset service according to the first SINR of the at least one emulation point, the typical scenario emulation data corresponding to the device type, and the guaranteed rate, the method for evaluating the number of accessible users further comprises:
performing typical scene simulation according to the typical scene simulation parameters, and determining a second SINR and throughput acquired at least one typical position; the typical scene simulation data are obtained by simulating a typical scene under a first mobile communication technology, wherein the typical scene comprises at least one of a dense urban area, a suburban area and an open area;
and generating the typical scene test data according to the second SINR and throughput acquired at the at least one typical position.
3. The method for evaluating the number of accessible users according to claim 1, wherein the guaranteed rate comprises an uplink guaranteed rate and a downlink guaranteed rate, and the throughput comprises an uplink throughput and a downlink throughput;
the determining, according to the duty ratio of the emulation point in the different SINR intervals, the throughput corresponding to the different SINR intervals, and the guaranteed rate, a rated number of users to which the access network device to be built can access the preset service includes:
Determining a first user number of the access network equipment to be built for accessing the preset service according to the duty ratio of the simulation points in the different SINR intervals, the corresponding uplink throughput in the different SINR intervals and the uplink guarantee rate; wherein the first number of users satisfies:
Figure FDA0004179554480000021
Figure FDA0004179554480000022
Figure FDA0004179554480000023
Figure FDA0004179554480000024
wherein ,Pg Representing a first SINR intervalDuty ratio of internal simulation point, P M Representing the duty ratio of the simulation point in the second SINR interval, P B Representing the duty ratio of the simulation point in the third SINR interval, wherein the first SINR interval, the second SINR interval and the third SINR interval are different SINR intervals,
Figure FDA0004179554480000025
indicating the corresponding upstream throughput in the first SINR interval,
Figure FDA0004179554480000026
representing the corresponding uplink throughput in the second SINR interval,/and>
Figure FDA0004179554480000027
representing the corresponding uplink throughput in the third SINR interval, T U Representing an uplink guarantee rate; />
Determining a second user number of the access network equipment to be built for accessing the preset service according to the duty ratio of the simulation points in the different SINR intervals, the corresponding downlink throughput in the different SINR intervals and the downlink guarantee rate; wherein the second number of users satisfies:
Figure FDA0004179554480000028
Figure FDA0004179554480000029
Figure FDA00041795544800000210
Figure FDA00041795544800000211
wherein ,
Figure FDA00041795544800000212
representing the corresponding downstream throughput in the first SINR interval,/and- >
Figure FDA00041795544800000213
Representing the corresponding downstream throughput in the second SINR interval,/or->
Figure FDA00041795544800000214
Representing the corresponding downstream throughput in the third SINR interval, T U Representing a downlink guarantee rate;
and determining the rated user number of the preset service accessible to the access network equipment to be built according to the first user number and the second user number.
4. An evaluation device for the number of accessible users, comprising:
the acquisition unit is used for acquiring a scene map and configuration parameters of the access network equipment to be built and a guarantee rate of a preset service to be accessed by the access network equipment to be built; the configuration parameters comprise the equipment type of the access network equipment and the access network equipment parameters;
the processing unit is used for simulating according to the scene map acquired by the acquisition unit, the equipment type acquired by the acquisition unit and the access network equipment parameter acquired by the acquisition unit, and determining a first SINR of at least one simulation point;
the processing unit is also used for
Determining the duty ratio of the simulation points in different SINR intervals according to the first SINR of the at least one simulation point;
determining corresponding throughput in different SINR intervals according to the second SINR and throughput acquired at least one typical position corresponding to the equipment type;
And determining the rated number of users of the access network equipment to be built, which can access the preset service, according to the duty ratio of the simulation points in the different SINR intervals, the corresponding throughput in the different SINR intervals and the guarantee rate.
5. The device for evaluating the number of accessible users according to claim 4, wherein the processing unit is further configured to perform a typical scene simulation according to typical scene simulation parameters, and determine a second SINR and throughput collected at least one typical location; the typical scene simulation data are obtained by simulating a typical scene under a first mobile communication technology, wherein the typical scene comprises at least one of a dense urban area, a suburban area and an open area;
the processing unit is further configured to generate the typical scenario test data according to the second SINR and throughput acquired at the at least one typical location.
6. The device for evaluating the number of accessible users according to claim 4, wherein the guaranteed rates include an uplink guaranteed rate and a downlink guaranteed rate, and the throughput includes an uplink throughput and a downlink throughput;
the processing unit is specifically configured to determine, according to the duty ratio of the simulation point in the different SINR intervals, the corresponding uplink throughput in the different SINR intervals, and the uplink guaranteed rate acquired by the acquiring unit, a first number of users that the access network device to be built can access the preset service; wherein the first number of users satisfies:
Figure FDA0004179554480000041
Figure FDA0004179554480000042
Figure FDA0004179554480000043
Figure FDA0004179554480000044
wherein ,Pg Representing the duty ratio of the simulation point in the first SINR interval, P M Representing the duty ratio of the simulation point in the second SINR interval, P B Representing the duty ratio of the simulation point in the third SINR interval, wherein the first SINR interval, the second SINR interval and the third SINR interval are different SINR intervals,
Figure FDA0004179554480000045
indicating the corresponding upstream throughput in the first SINR interval,
Figure FDA0004179554480000046
representing the corresponding uplink throughput in the second SINR interval,/and>
Figure FDA0004179554480000047
representing the corresponding uplink throughput in the third SINR interval, T U Representing an uplink guarantee rate;
the processing unit is specifically configured to determine, according to the duty ratio of the simulation point in the different SINR intervals, the corresponding downlink throughput in the different SINR intervals, and the downlink guaranteed rate acquired by the acquiring unit, a second user number of the access network device to be built that can access the preset service; wherein the second number of users satisfies:
Figure FDA0004179554480000048
Figure FDA0004179554480000049
Figure FDA00041795544800000410
Figure FDA00041795544800000411
wherein ,
Figure FDA00041795544800000412
representing the corresponding downstream throughput in the first SINR interval,/and->
Figure FDA0004179554480000051
Representing the corresponding downstream throughput in the second SINR interval,/or->
Figure FDA0004179554480000052
Representing the corresponding downstream throughput in the third SINR interval, T U Representing a downlink guarantee rate;
the processing unit is specifically configured to determine, according to the first number of users and the second number of users, a rated number of users for which the access network device to be built can access the preset service.
7. A computer readable storage medium comprising instructions which, when run on a computer, cause the computer to perform the method of evaluating the number of accessible users as claimed in any of the preceding claims 1-3.
8. A server, comprising: communication interface, processor, memory, bus;
the memory is used for storing computer execution instructions, and the processor is connected with the memory through the bus;
when the server is running, the processor executes the computer-executable instructions stored in the memory to cause the server to perform the method of evaluating the number of accessible users as claimed in any one of the preceding claims 1-3.
CN202011360747.XA 2020-11-27 2020-11-27 Method and device for evaluating number of accessible users Active CN112333753B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011360747.XA CN112333753B (en) 2020-11-27 2020-11-27 Method and device for evaluating number of accessible users

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011360747.XA CN112333753B (en) 2020-11-27 2020-11-27 Method and device for evaluating number of accessible users

Publications (2)

Publication Number Publication Date
CN112333753A CN112333753A (en) 2021-02-05
CN112333753B true CN112333753B (en) 2023-05-26

Family

ID=74308075

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011360747.XA Active CN112333753B (en) 2020-11-27 2020-11-27 Method and device for evaluating number of accessible users

Country Status (1)

Country Link
CN (1) CN112333753B (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114071580A (en) * 2021-11-04 2022-02-18 中国联合网络通信集团有限公司 Data transmission method and device and electronic equipment
CN116321460A (en) * 2021-12-03 2023-06-23 中兴通讯股份有限公司 Radio resource allocation method, radio frequency device, electronic equipment and storage medium
CN114422003B (en) * 2022-03-31 2022-06-14 桔帧科技(江苏)有限公司 Method, device and storage medium for detecting influence on MIMO data transmission ratio

Citations (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101098172A (en) * 2006-06-27 2008-01-02 中兴通讯股份有限公司 Method for evaluating special channel uplink loading and capacity in WCDMA system
CN101119131A (en) * 2007-09-19 2008-02-06 中兴通讯股份有限公司 Method for estimating uplink load of user facility
EP2330777A2 (en) * 2004-08-12 2011-06-08 Interdigital Technology Corporation Method and system for controlling access to a wireless communication medium
CN102231884A (en) * 2011-07-04 2011-11-02 重庆邮电大学 Capacity and coverage combined design method for TD-SCDMA (Time Division-Synchronization Code Division Multiple Access) cluster system
CN102404778A (en) * 2010-09-16 2012-04-04 普天信息技术研究院有限公司 Load estimation method
CN102984717A (en) * 2011-09-07 2013-03-20 中兴通讯股份有限公司 Method and system for system capacity estimation
EP2635088A1 (en) * 2012-02-28 2013-09-04 Alcatel Lucent Apparatus, Method and Computer Program for Controlling Transmission Points in a Mobile Communication System
CN103298076A (en) * 2013-06-21 2013-09-11 西安邮电大学 Method for selecting access network in heterogeneous network
WO2014027171A2 (en) * 2012-08-16 2014-02-20 University Of Manchester Communication system and method
CN104471970A (en) * 2012-07-25 2015-03-25 高通股份有限公司 Asymmetric radio access network (ran) resource allocation in ran sharing arrangement
CN105307183A (en) * 2014-07-31 2016-02-03 中国移动通信集团设计院有限公司 Method and device for establishing data service model
CN105493545A (en) * 2013-04-26 2016-04-13 华为技术有限公司 Network energy efficiency simulation and evaluation methods and apparatuses
CN106031066A (en) * 2014-02-21 2016-10-12 株式会社Ntt都科摩 Radio communication control method and radio communication system
CN106131967A (en) * 2016-06-30 2016-11-16 南京理工大学 Security coordination dispatching method based on cloud Radio Access Network downlink
CN106412993A (en) * 2015-07-31 2017-02-15 中国电信股份有限公司 Method, base station and system for balancing load
CN106686655A (en) * 2017-03-20 2017-05-17 重庆邮电大学 Heterogeneous network joint user correlation and content cache method
CN109862590A (en) * 2019-03-26 2019-06-07 中国联合网络通信集团有限公司 Network capacity appraisal procedure and device
CN110621025A (en) * 2019-09-17 2019-12-27 中国联合网络通信集团有限公司 Equipment model selection method and device
CN111600643A (en) * 2020-04-09 2020-08-28 中国电子科技集团公司电子科学研究院 Satellite communication resource scheduling method and device storage medium

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102158310A (en) * 2011-02-15 2011-08-17 中兴通讯股份有限公司 Method and device for realizing multi-cell precoding

Patent Citations (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2330777A2 (en) * 2004-08-12 2011-06-08 Interdigital Technology Corporation Method and system for controlling access to a wireless communication medium
CN101098172A (en) * 2006-06-27 2008-01-02 中兴通讯股份有限公司 Method for evaluating special channel uplink loading and capacity in WCDMA system
CN101119131A (en) * 2007-09-19 2008-02-06 中兴通讯股份有限公司 Method for estimating uplink load of user facility
CN102404778A (en) * 2010-09-16 2012-04-04 普天信息技术研究院有限公司 Load estimation method
CN102231884A (en) * 2011-07-04 2011-11-02 重庆邮电大学 Capacity and coverage combined design method for TD-SCDMA (Time Division-Synchronization Code Division Multiple Access) cluster system
CN102984717A (en) * 2011-09-07 2013-03-20 中兴通讯股份有限公司 Method and system for system capacity estimation
EP2635088A1 (en) * 2012-02-28 2013-09-04 Alcatel Lucent Apparatus, Method and Computer Program for Controlling Transmission Points in a Mobile Communication System
CN104471970A (en) * 2012-07-25 2015-03-25 高通股份有限公司 Asymmetric radio access network (ran) resource allocation in ran sharing arrangement
WO2014027171A2 (en) * 2012-08-16 2014-02-20 University Of Manchester Communication system and method
CN105493545A (en) * 2013-04-26 2016-04-13 华为技术有限公司 Network energy efficiency simulation and evaluation methods and apparatuses
CN103298076A (en) * 2013-06-21 2013-09-11 西安邮电大学 Method for selecting access network in heterogeneous network
CN106031066A (en) * 2014-02-21 2016-10-12 株式会社Ntt都科摩 Radio communication control method and radio communication system
CN105307183A (en) * 2014-07-31 2016-02-03 中国移动通信集团设计院有限公司 Method and device for establishing data service model
CN106412993A (en) * 2015-07-31 2017-02-15 中国电信股份有限公司 Method, base station and system for balancing load
CN106131967A (en) * 2016-06-30 2016-11-16 南京理工大学 Security coordination dispatching method based on cloud Radio Access Network downlink
CN106686655A (en) * 2017-03-20 2017-05-17 重庆邮电大学 Heterogeneous network joint user correlation and content cache method
CN109862590A (en) * 2019-03-26 2019-06-07 中国联合网络通信集团有限公司 Network capacity appraisal procedure and device
CN110621025A (en) * 2019-09-17 2019-12-27 中国联合网络通信集团有限公司 Equipment model selection method and device
CN111600643A (en) * 2020-04-09 2020-08-28 中国电子科技集团公司电子科学研究院 Satellite communication resource scheduling method and device storage medium

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
"RP-091232_LCR_TDD_HNB_TR_ 25.866 V1.0.0".3GPP specs\25_series.2009,全文. *
A_study_on_single-cell_point-to-multipoint_transmission_for_public_safety_communications_with_eMBMS_LTE_networks;Mikko S¨aily;《IEEE XPLORE》;全文 *
智能无线通信技术研究概况;梁应敞;《中国优秀硕士学位论文全文数据库（电子期刊）信息科技辑》;全文 *

Also Published As

Publication number Publication date
CN112333753A (en) 2021-02-05

Similar Documents

Publication Publication Date Title
CN112333753B (en) Method and device for evaluating number of accessible users
TWI578727B (en) Virtualization of natural radio environments to test a radio device
US20230232370A1 (en) Relative positioning method, terminal, and base station
CN112333754B (en) Method and device for estimating number of accessible users
US11146372B2 (en) Reference signal transmission method and apparatus
US10362155B2 (en) Method, base station, and terminal for wireless link processing
CN111669776B (en) Edge rate determining method and device
CN105635980A (en) Uplink signal processing method, device and system
WO2022017012A1 (en) Network configuration method and apparatus
WO2014032505A1 (en) Method and device for simulation test
CN104066196A (en) Method and device for determining remote radio unit (RRU)
CN112383936B (en) Method and device for evaluating number of accessible users
CN111542082B (en) Method and device for determining coverage rate of downlink edge
CN112165723B (en) Measurement method and communication device
Panwar et al. Implementation of wrap around mechanism for system level simulation of LTE cellular networks in NS3
Karimi et al. Measurement based mobility emulation platform for next generation wireless networks
CN112367679B (en) Method and device for evaluating number of accessible users
Wang et al. A novel design of system level simulator for heterogeneous networks
CN112738815B (en) Method and device for evaluating number of accessible users
CN111586733B (en) Edge rate determining method and device
CN112312448B (en) Method and device for evaluating RRC connection number
CN111669773B (en) Method and device for calculating edge rate
CN112584416B (en) Method and device for evaluating number of accessible users
CN110662225B (en) Equipment model selection method and device
CN111669763B (en) Method and device for determining station spacing

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant